{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在这个教程中，你将会学到用python抓包抓取百度迁徙网站数据\n",
    "\n",
    "<div class=\"alert alert-info\"><h2>提供的基础数据是：</h2><p>\n",
    "    没有，我们的数据无中生有<br><br></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "受到疫情影响，今年的迁徙明显比去年总量少很多。  \n",
    "因此，我有一个疑问：\n",
    ">我们能不能抓下每个城市的迁徙数据，看看疫情后复工的情况现在怎么样了呢？  \n",
    "\n",
    "最近，[百度迁徙](http://qianxi.baidu.com/)开放了迁徙的数据，直接公布在了网上非常的友好，这明摆着就是让我们抓的嘛！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 爬虫的第一步：观察网站研究爬虫策略"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "抓包的原理:  \n",
    "现在越来越多的网站是基于javascript动态加载的。他们的网页是一个html，这个html加载了javascript的脚本，然后再加载数据。这个时候如果我们直接抓静态网页，就会发现抓下来只有一行，就是他们引用了JavaScript的脚本，抓不到数据。\n",
    "怎么办呢，首先我们要来了解一下如果我们在百度地图上搜索一条公交线，搜索结果是怎么出现的：\n",
    "<img src=\"https://gitee.com/ni1o1/pygeo-tutorial/raw/master/resource/zhuabao.jpg\"  style=\"width:1000px\">  \n",
    "\n",
    "在搜索框里面搜公交“71路”。浏览器会自动把这个关键词转换为查询条件提交给网络服务器，网络服务器根据条件返回数据，浏览器里面的JavaScript收到数据以后，对数据解析并绘制成公交线展示给我们看。  \n",
    "所以爬虫可以在服务器返回数据的时候，把数据截取下来"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "好的！我们来实操一下，打开[百度迁徙](http://qianxi.baidu.com/)网页:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-19T10:00:50.491977Z",
     "start_time": "2020-03-19T10:00:50.484032Z"
    }
   },
   "source": [
    "<img src=\"https://gitee.com/ni1o1/pygeo-tutorial/raw/master/resource/zhuabao1.png\"  style=\"width:1000px\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面的**春节期间迁入上海趋势**这个折线图的数据，就是我们现在要抓的  \n",
    "来看看抓取策略，右键打开检查，进入浏览器chrome自带的开发者工具(其他浏览器也有类似功能，这里以chrome为例):"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://gitee.com/ni1o1/pygeo-tutorial/raw/master/resource/zhuabao2.png\"  style=\"width:400px\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Network标签页下可记录网页的实时网络访问情况，勾选Preserve log选项可在网页打开新页面时保存之前的网络连接情况"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://gitee.com/ni1o1/pygeo-tutorial/raw/master/resource/zhuabao3.png\"  style=\"width:600px\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们勾选Preserve log，然后刷新一下页面，找一下折线图的数据在哪里获取到了"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://gitee.com/ni1o1/pygeo-tutorial/raw/master/resource/zhuabao4.png\"  style=\"width:600px\">\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "然后我们把这个访问链接复制下来：http://huiyan.baidu.com/migration/historycurve.jsonp?dt=province&id=310000&type=move_in&callback=jsonp_1584611749784_5326864"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "观察一下这个链接\n",
    "<img src=\"https://gitee.com/ni1o1/pygeo-tutorial/raw/master/resource/zhuabao5.png\"  style=\"width:1000px\">\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "所以，抓取策略很明显了！就只要改一下这个链接里面的参数即可"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 开始抓取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-11T03:21:58.450569Z",
     "start_time": "2020-04-11T03:21:57.278357Z"
    }
   },
   "outputs": [],
   "source": [
    "#抓取的包\n",
    "import urllib\n",
    "import urllib.request\n",
    "\n",
    "#json文件解析\n",
    "import json\n",
    "\n",
    "#数据处理包\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-11T03:22:00.665464Z",
     "start_time": "2020-04-11T03:22:00.132072Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'({\"errno\":0,\"errmsg\":\"SUCCESS\",\"data\":{\"list\":{\"20190112\":6.2175276,\"20190113\":5.8191372,\"20190114\":7.683174,\"20190115\":6.069654,\"20190116\":5.7759156,\"20190117\":6.1183512,\"20190118\":6.2400132,\"20190119\":6.4196064,\"20190120\":6.1418088,\"20190121\":7.3892088,\"20190122\":6.2027532,\"20190123\":6.38361,\"20190124\":6.5075076,\"20190125\":6.6069432,\"20190126\":6.630822,\"20190127\":6.1474788,\"20190128\":7.255818,\"20190129\":5.5640844,\"20190130\":5.2108272,\"20190131\":4.8215412,\"20190201\":4.5188604,\"20190202\":3.8527164,\"20190203\":3.639816,\"20190204\":3.3622128,\"20190205\":3.965922,\"20190206\":6.5205,\"20190207\":7.4600676,\"20190208\":9.447192,\"20190209\":12.4943472,\"20190210\":17.395074,\"20190211\":20.3837148,\"20190212\":17.3868768,\"20190213\":16.2005184,\"20190214\":14.8264668,\"20190215\":12.6163656,\"20190216\":11.3368572,\"20190217\":11.3284008,\"20190218\":11.9455236,\"20190219\":8.0118396,\"20190220\":8.7808212,\"20190221\":11.1269376,\"20190222\":9.7935804,\"20190223\":9.619074,\"20190224\":9.6119784,\"20190225\":9.7616664,\"20190226\":7.7978376,\"20190227\":8.6322996,\"20190228\":9.840204,\"20190301\":7.6527828,\"20190302\":7.2550404,\"20190303\":6.94818,\"20190304\":8.9479404,\"20190305\":7.2414648,\"20190306\":6.8594688,\"20190307\":6.974262,\"20190308\":6.9581592,\"20190309\":7.060122,\"20190310\":6.8933592,\"20190311\":9.1645992,\"20190312\":7.3974708,\"20190313\":7.1947116,\"20190314\":7.0451208,\"20190315\":7.1376228,\"20190316\":7.611084,\"20190317\":7.6749444,\"20190318\":9.5423184,\"20190319\":7.1948736,\"20190320\":7.2306756,\"20190321\":7.1141004,\"20190322\":6.9205752,\"20190323\":7.1973036,\"20190324\":7.2599976,\"20190325\":9.4696128,\"20190326\":7.4626596,\"20190327\":6.8748912,\"20190328\":6.7669992,\"20190329\":6.8229216,\"20190330\":7.075512,\"20190331\":8.546796,\"20190401\":9.5116356,\"20190402\":7.6385916,\"20190403\":6.9344424,\"20190404\":7.5944304,\"20190405\":10.4267736,\"20190406\":10.2716424,\"20190407\":16.2705996,\"20190408\":19.0956852,\"20190409\":10.87506,\"20190410\":9.1971612,\"20190411\":8.7545448,\"20190412\":8.6268564,\"20190413\":8.8970724,\"20190414\":9.1314864,\"20190415\":11.3813424,\"20190416\":8.65323,\"20190417\":8.1439668,\"20190418\":8.7529572,\"20190419\":9.0380124,\"20190420\":9.5218092,\"20190421\":9.5149728,\"20190422\":11.230326,\"20190423\":8.2707804,\"20190424\":8.141148,\"20190425\":8.583408,\"20190426\":8.39565,\"20190427\":7.7495616,\"20200101\":4.633038,\"20200102\":4.667544,\"20200103\":7.052022,\"20200104\":7.678476,\"20200105\":9.5546952,\"20200106\":8.2661472,\"20200107\":7.5110652,\"20200108\":7.9364124,\"20200109\":8.2719792,\"20200110\":7.6930236,\"20200111\":7.4344392,\"20200112\":7.02675,\"20200113\":8.2559088,\"20200114\":6.69384,\"20200115\":6.483078,\"20200116\":6.419574,\"20200117\":6.0462936,\"20200118\":5.728968,\"20200119\":5.6163456,\"20200120\":5.3363772,\"20200121\":5.2280964,\"20200122\":4.3067052,\"20200123\":3.7339704,\"20200124\":2.867886,\"20200125\":1.9504476,\"20200126\":3.6312948,\"20200127\":5.2192188,\"20200128\":5.8599612,\"20200129\":5.2701516,\"20200130\":5.1093828,\"20200131\":4.8856608,\"20200201\":4.1366376,\"20200202\":4.9727844,\"20200203\":4.5668448,\"20200204\":3.224124,\"20200205\":3.3622452,\"20200206\":3.721788,\"20200207\":3.9593124,\"20200208\":4.873284,\"20200209\":5.4913788,\"20200210\":4.5541116,\"20200211\":2.6944164,\"20200212\":2.1664908,\"20200213\":2.1266388,\"20200214\":1.9243656,\"20200215\":1.6889148,\"20200216\":1.5252624,\"20200217\":1.8123588,\"20200218\":1.9827828,\"20200219\":2.1216492,\"20200220\":2.2349844,\"20200221\":2.3656536,\"20200222\":2.494314,\"20200223\":2.7801144,\"20200224\":3.1474656,\"20200225\":3.2241564,\"20200226\":3.1833648,\"20200227\":3.1077108,\"20200228\":2.9643408,\"20200229\":3.265596,\"20200301\":3.1574124,\"20200302\":4.0390488,\"20200303\":3.4119792,\"20200304\":3.1102056,\"20200305\":3.123684,\"20200306\":3.2573016,\"20200307\":3.1680072,\"20200308\":2.9006748,\"20200309\":3.8915964,\"20200310\":3.4890264,\"20200311\":3.2696784,\"20200312\":3.4544232,\"20200313\":3.4211484,\"20200314\":3.3252444,\"20200315\":3.3382692,\"20200316\":4.8853044,\"20200317\":3.9058524,\"20200318\":3.7190664,\"20200319\":3.913272,\"20200320\":3.9803076,\"20200321\":3.928338,\"20200322\":3.6797976,\"20200323\":5.4090504,\"20200324\":4.0942584,\"20200325\":3.9601224,\"20200326\":4.3310052,\"20200327\":4.0677876,\"20200328\":3.6643104,\"20200329\":4.0160124,\"20200330\":5.7000672,\"20200331\":4.225122,\"20200401\":4.3854696,\"20200402\":4.1361192,\"20200403\":4.2160176,\"20200404\":4.4570412,\"20200405\":4.0739112,\"20200406\":6.3174168,\"20200407\":8.805348,\"20200408\":5.3329104,\"20200409\":4.6208556,\"20200410\":5.0677488}}})'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cityname = '上海市'\n",
    "adcode = '310000'\n",
    "\n",
    "#构建url\n",
    "url = r'http://huiyan.baidu.com/migration/historycurve.jsonp?dt=province&id='+str(adcode)+'&type=move_in&callback='\n",
    "\n",
    "#抓取\n",
    "request = urllib.request.Request(url)\n",
    "response = urllib.request.urlopen(request)\n",
    "data = response.read().decode('utf-8')\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这里，我把callback参数空着，这样抓下来的数据就不会带前缀。然后用json包读取数据（先把最外面的括号去掉）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-11T03:22:04.027985Z",
     "start_time": "2020-04-11T03:22:04.022997Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "datajson=json.loads(data[1:-1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "抓取下来的datajson变成了一个dict，接下来我们把2019年和2020年数据分开保存为两个表："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-19T10:32:06.412057Z",
     "start_time": "2020-03-19T10:32:06.385161Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>20190112</td>\n",
       "      <td>6.217528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>20190113</td>\n",
       "      <td>5.819137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>20190114</td>\n",
       "      <td>7.683174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>20190115</td>\n",
       "      <td>6.069654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>20190116</td>\n",
       "      <td>5.775916</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       date     count\n",
       "0  20190112  6.217528\n",
       "1  20190113  5.819137\n",
       "2  20190114  7.683174\n",
       "3  20190115  6.069654\n",
       "4  20190116  5.775916"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###############################你需要在下面写代码##################################\n",
    "# 2019年和2020年数据分开保存\n",
    "# 变量名为data2019_in和data2020_in\n",
    "# data2019_in = \n",
    "# data2020_in =\n",
    "\n",
    "###################################################################################\n",
    "data2019_in.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-11T03:22:08.441650Z",
     "start_time": "2020-04-11T03:22:08.392752Z"
    }
   },
   "outputs": [],
   "source": [
    "###############################    答  案   ##################################\n",
    "# 2019年和2020年数据分开保存\n",
    "data = pd.DataFrame([datajson['data']['list']]).T.reset_index()\n",
    "data.columns = ['date','count']\n",
    "data2019_in = data[data['date'].apply(lambda r:r[:4]=='2019')]\n",
    "data2020_in = data[data['date'].apply(lambda r:r[:4]=='2020')]\n",
    "###################################################################################"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "把上面抓取了迁入的数据，现在来抓一下迁出的数据吧，保存在data2019_out、data2020_out变量中"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "###############################你需要在下面写代码##################################\n",
    "# 抓取迁出的数据，保存在data2019_out、data2020_out变量中\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "###################################################################################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-11T03:22:10.850757Z",
     "start_time": "2020-04-11T03:22:10.378033Z"
    }
   },
   "outputs": [],
   "source": [
    "###############################    答  案   ##################################\n",
    "url = r'http://huiyan.baidu.com/migration/historycurve.jsonp?dt=province&id='+str(adcode)+'&type=move_out&callback='\n",
    "request = urllib.request.Request(url)\n",
    "response = urllib.request.urlopen(request)\n",
    "data = response.read().decode('utf-8')\n",
    "datajson=json.loads(data[1:-1])\n",
    "data = pd.DataFrame([datajson['data']['list']]).T.reset_index()\n",
    "data.columns = ['date','count']\n",
    "data2019_out = data[data['date'].apply(lambda r:r[:4]=='2019')]\n",
    "data2020_out = data[data['date'].apply(lambda r:r[:4]=='2020')]\n",
    "###################################################################################"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 计算人口恢复率！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上一步的过程中，我们把19年20年的数据保存在了data2019_in、data2020_in、data2019_out、data2020_out四个变量中，接下来考验大家pandas基本功的时候到了，用下面方法，以1月23日（春节前一天）为基准计算人口恢复率  \n",
    "<img src=\"https://gitee.com/ni1o1/pygeo-tutorial/raw/master/resource/zhuabao6.png\"  style=\"width:600px\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "###############################你需要在下面写代码##################################\n",
    "# 以1月23日（春节前一天）为基准计算人口恢复率\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "###################################################################################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-11T03:22:14.931016Z",
     "start_time": "2020-04-11T03:22:14.823619Z"
    }
   },
   "outputs": [],
   "source": [
    "###############################    答  案   ##################################\n",
    "data2019_in.columns = ['date','incount']\n",
    "data2019_out.columns = ['date','outcount']\n",
    "data2019 = pd.merge(data2019_in,data2019_out,on = 'date')\n",
    "data2019['incumsum'] = data2019['incount'].cumsum()\n",
    "data2019['outcumsum'] = data2019['outcount'].cumsum()\n",
    "\n",
    "data2020_in.columns = ['date','incount']\n",
    "data2020_out.columns = ['date','outcount']\n",
    "data2020 = pd.merge(data2020_in,data2020_out,on = 'date')\n",
    "data2020['incumsum'] = data2020['incount'].cumsum()\n",
    "data2020['outcumsum'] = data2020['outcount'].cumsum()\n",
    "\n",
    "data2019 = data2019.reset_index()\n",
    "data2019['year'] = '2019年(农历同期)'\n",
    "data2019['data'] = data2019['incumsum']-data2019['outcumsum']\n",
    "data2019['datarate'] = ((data2019['data']-data2019['data'].iloc[22])/abs(data2019['data'].iloc[22]))\n",
    "data2020 = data2020.reset_index()\n",
    "data2020['year'] = '2020年'\n",
    "data2020['data'] = data2020['incumsum']-data2020['outcumsum']\n",
    "data2020['datarate'] = ((data2020['data']-data2020['data'].iloc[22])/abs(data2020['data'].iloc[22]))\n",
    "datatoplot = data2019[['index','year','data','datarate']].append(data2020[['index','year','data','datarate']])\n",
    "###################################################################################"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可视化出图："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-11T03:23:55.364449Z",
     "start_time": "2020-04-11T03:23:53.686329Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3000x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "#读取字体文件，matplotlib默认是不能显示中文的，因此我们加载系统自带字体\n",
    "from matplotlib.font_manager import FontProperties\n",
    "font = FontProperties(fname=r\"c:\\windows\\fonts\\simsun.ttc\", size=10)\n",
    "\n",
    "#设置seaborn的主题\n",
    "sns.set_style('whitegrid',{\"xtick.major.size\": 10 , \"ytick.major.size\": 10})\n",
    "\n",
    "#创建图\n",
    "fig = plt.figure(1,(10,4),dpi = 300)\n",
    "ax = plt.subplot(111)\n",
    "\n",
    "#绘制累计净迁徙指数的柱状图\n",
    "sns.barplot(x = 'index',y='data',hue = 'year',data = datatoplot,ax = ax)\n",
    "\n",
    "\n",
    "vmin = (int(data2020['data'].min()/30)-1)*30\n",
    "ticks = pd.DataFrame(list(range(0,vmin-1,int(vmin/6))))\n",
    "\n",
    "#显示网格\n",
    "plt.grid(zorder = 0)\n",
    "\n",
    "#纵轴标题\n",
    "plt.ylabel('累计净迁徙指数',fontproperties = font)\n",
    "\n",
    "#图例\n",
    "plt.legend(prop = font)\n",
    "\n",
    "#横轴标题\n",
    "plt.xlabel('日期',fontproperties = font)\n",
    "plt.ylim(datatoplot['data'].min()*1.1,datatoplot['data'].max()*1.1)\n",
    "\n",
    "#反转副坐标轴绘制人口回复率\n",
    "ax1 = ax.twinx()\n",
    "sns.lineplot(x = 'index',y=datatoplot['datarate'],hue = 'year',data = datatoplot,ax = ax1,legend = None)\n",
    "\n",
    "#计算横轴的日期\n",
    "from datetime import datetime,timedelta\n",
    "d = []\n",
    "for i in range(120):\n",
    "    datetime_date = datetime.strptime('20200101', \"%Y%m%d\")+i*timedelta(days=1)\n",
    "    d.append(datetime_date.strftime(\"%Y%m%d\"))\n",
    "datelist = pd.DataFrame(d)[0]\n",
    "\n",
    "\n",
    "plt.xticks(pd.DataFrame(range(0,len(datelist),7))+1,datelist.apply(lambda r:r[-3]+'/'+r[-2:]).iloc[range(0,len(datelist),7)])\n",
    "ticks2 = (1-1.2*ticks/ticks.min())\n",
    "plt.xlim(0,len(data2020['date'])+10)\n",
    "\n",
    "\n",
    "plt.xlabel('日期',fontproperties = font)\n",
    "plt.ylabel('节后人口恢复率',fontproperties = font)\n",
    "plt.title(cityname+'春节人口迁移时间分布',fontproperties = font)\n",
    "plt.grid('off')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 作业"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "尝试绘制一下全国各城市的人口回复率，观察一下：\n",
    "> 大城市和小城市，沿海地区和内陆地区的人口恢复率有什么区别，为什么会有这种区别？"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  },
  "toc": {
   "base_numbering": 1,
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